Episode

Model Context Protocol Deep Dive

Podcast
Practical AI
Published
May 8, 2025
Duration seconds
2543
Processing state
failed
Canonical source
https://share.transistor.fm/s/d7a0d796
Audio
https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/d7a0d796/0e8b4946.mp3
JSON
/v1/public/podcasts/practical-ai/episodes/model-context-protocol-deep-dive
Markdown
/podcast/practical-ai/model-context-protocol-deep-dive.md

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Summary

In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP. Featuring: Chris Benson – Website , GitHub , LinkedIn , X Daniel Whitenack – Website , GitHub , X Links: Protocol website Anthropic blog post Blog post - Model Context Protocol (MCP) an overview FastAPI-MCP How to Use FastAPI MCP Server: A Complete Guide Candle (Rust framework)